ai-chatbot/components/image-generation-loading.tsx

"use client";

import { memo } from "react";
import { ChevronDown, Grid2x2, CircleDot } from "lucide-react";
import { cn } from "@/lib/utils";

type ColorTheme = "purple" | "blue" | "green" | "orange" | "red";

interface ImageGenerationLoadingProps {
  imageCount?: number;
  maxImages?: number;
  colorTheme?: ColorTheme;
  modelName?: string;
  providerType?: string;
  phase?: "idle" | "queued" | "processing" | "finalizing" | "failed";
  elapsedSeconds?: number;
  queuePosition?: number;
  sameModelRunningCount?: number;
  concurrencyLimit?: number;
  estimatedWaitMs?: number;
}

const PROVIDER_MODEL_LABEL: Record<string, string> = {
  "alibaba-image": "千问图片",
  "ruxa-image": "RUXA 图片",
  "fal-image": "FAL 图片",
  "openai-image": "OpenAI 图片",
  "stepfun-image": "StepFun 图片",
  midjourney: "Midjourney",
  "volcano-vision": "即梦 4.5",
  gemini: "Gemini 图片",
  krea: "Krea 图片",
};

const PHASE_HINT: Record<NonNullable<ImageGenerationLoadingProps["phase"]>, string> = {
  idle: "任务已创建，正在初始化生成参数。",
  queued: "任务已进入队列，请稍候。",
  processing: "模型正在生成图片，请稍候。",
  finalizing: "图片已生成完成，正在同步到对话。",
  failed: "生成失败，请重试。",
};

function formatImageQueueWaitLabel(estimatedWaitMs?: number) {
  const numeric = Number(estimatedWaitMs || 0);
  if (!Number.isFinite(numeric) || numeric <= 0) {
    return "预计即将开始";
  }
  const seconds = Math.max(1, Math.round(numeric / 1000));
  if (seconds < 60) {
    return `预计 ${seconds} 秒`;
  }
  const minutes = Math.floor(seconds / 60);
  const remainSeconds = seconds % 60;
  return remainSeconds > 0
    ? `预计 ${minutes} 分 ${remainSeconds} 秒`
    : `预计 ${minutes} 分钟`;
}

export const ImageGenerationLoading = memo(
  ({
    imageCount = 1,
    maxImages = 6,
    modelName,
    providerType,
    phase = "processing",
    elapsedSeconds = 0,
    queuePosition,
    sameModelRunningCount,
    concurrencyLimit,
    estimatedWaitMs,
  }: ImageGenerationLoadingProps) => {
    const count = Math.min(Math.max(imageCount, 1), maxImages);
    const resolvedModelName =
      modelName?.trim() || PROVIDER_MODEL_LABEL[providerType || ""] || "AI 图片模型";
    const estimateRangeLabel = "60～120秒";
    const elapsedLabel =
      elapsedSeconds > 0 ? `已等待 ${elapsedSeconds}s` : `预计 ${estimateRangeLabel}`;
    const isFailed = phase === "failed";
    const queueLine =
      phase === "queued" && Number.isFinite(queuePosition)
        ? Math.max(0, Number(queuePosition || 0)) > 0
          ? `排队中，前方 ${Math.max(0, Number(queuePosition || 0))} 个`
          : "排队中，等待进入执行"
        : null;
    const queueDetailLine =
      phase === "queued"
        ? `当前模型运行 ${Math.max(
            0,
            Number(sameModelRunningCount || 0)
          )}/${Math.max(1, Number(concurrencyLimit || 0) || 1)}，${formatImageQueueWaitLabel(
            estimatedWaitMs
          )}`
        : null;

    return (
      <div
        className="group/message fade-in w-full animate-in duration-300"
        data-role="assistant"
        data-testid="message-assistant-image-loading"
      >
        <div className="w-full max-w-[560px] space-y-2.5">
          <div className="flex items-center gap-2 text-[13px] text-[#9aa3b2]">
            <ChevronDown className="h-4 w-4" />
            <span className="font-medium">开始生成</span>
          </div>

          <div className="flex items-center gap-2 text-[#a8b1bf]">
            <CircleDot className="h-3.5 w-3.5 fill-current" />
            <span className="text-[14px]">{resolvedModelName}</span>
          </div>

          <div
            className={cn(
              "relative overflow-hidden rounded-[22px] border border-[#e1e4ea] bg-[#eaedf2]",
              count === 1 ? "h-[420px] w-full max-w-[340px]" : "grid gap-3 p-3",
              count > 1 && "grid-cols-2"
            )}
          >
            {count === 1 ? (
              <>
                <div className="absolute inset-0 bg-gradient-to-r from-[#e9ecf1] via-[#dfe4eb] to-[#e9ecf1] opacity-90" />
                <div className="generation-skeleton-shimmer absolute inset-0 bg-[linear-gradient(105deg,transparent_0%,rgba(255,255,255,0.45)_48%,transparent_100%)]" />
              </>
            ) : (
              Array.from({ length: count }).map((_, index) => (
                <div
                  key={index}
                  className="relative h-[180px] overflow-hidden rounded-2xl border border-[#dfe3e9] bg-[#e7ebf0]"
                >
                  <div className="absolute inset-0 bg-gradient-to-r from-[#e7ebf0] via-[#dce2ea] to-[#e7ebf0]" />
                  <div
                    className="generation-skeleton-shimmer absolute inset-0 bg-[linear-gradient(105deg,transparent_0%,rgba(255,255,255,0.42)_48%,transparent_100%)]"
                    style={{ animationDelay: `${index * 0.2}s` }}
                  />
                </div>
              ))
            )}
          </div>

          <div className="flex items-center gap-2 pt-1 text-[13px] text-[#9aa3b2]">
            <Grid2x2 className="h-5 w-5" />
            <span className="font-medium">{isFailed ? "生成失败" : "设计图处理中"}</span>
          </div>

          <div className="space-y-0.5 text-[#9aa3b2]">
            <div className="text-[13px] font-medium">
              使用 {resolvedModelName} 生成图片，预计 {estimateRangeLabel}
            </div>
            {queueLine ? <div className="text-[13px]">{queueLine}</div> : null}
            {queueDetailLine ? <div className="text-[13px]">{queueDetailLine}</div> : null}
            {(phase !== "processing" || elapsedSeconds > 0) && (
              <div className="text-[13px]">
                {PHASE_HINT[phase]} {elapsedLabel}
              </div>
            )}
          </div>
        </div>

        <style jsx>{`
          .generation-skeleton-shimmer {
            transform: translateX(-100%);
            animation: generation-shimmer 1.8s ease-in-out infinite;
          }

          @keyframes generation-shimmer {
            0% {
              transform: translateX(-110%);
            }
            100% {
              transform: translateX(110%);
            }
          }
        `}</style>
      </div>
    );
  }
);

ImageGenerationLoading.displayName = "ImageGenerationLoading";